Fix build

contrib/download_depccg_model.py

@@ -2,7 +2,7 @@
 from urllib.request import urlretrieve
 from depccg.instance_models import MODEL_DIRECTORY
 
-URL = 'https://qnlp.cambridgequantum.com/models/tri_headfirst.tar.gz'
+URL = 'https://qnlp.quantinuum.com/models/tri_headfirst.tar.gz'
 
 print('Please consider using Bobcat, the parser included with lambeq,\n'
       'instead of depccg.')

lambeq/backend/snake_removal.py

@@ -30,7 +30,12 @@
 class InterchangerError(Exception):
     """ This is raised when we try to interchange conected boxes. """
     def __init__(self, box0: Box, box1: Box) -> None:
-        super().__init__(f'Boxes {box0} and {box1} do not commute.')
+        super().__init__(box0, box1)
+        self.box0 = box0
+        self.box1 = box1
+
+    def __str__(self) -> str:
+        return f'Boxes {self.box0} and {self.box1} do not commute.'
 
 
 def snake_removal(diagram: Diagram, left: bool = False) -> Iterator[Diagram]:

lambeq/text2diagram/ccg_rule.py

@@ -27,6 +27,7 @@
 class CCGRuleUseError(Exception):
     """Error raised when a :py:class:`CCGRule` is applied incorrectly."""
     def __init__(self, rule: CCGRule, message: str) -> None:
+        super().__init__(rule, message)
         self.rule = rule
         self.message = message
 

lambeq/text2diagram/ccg_type.py

@@ -28,6 +28,7 @@ class CCGParseError(Exception):
     """Error when parsing a CCG type string."""
 
     def __init__(self, cat: str, message: str) -> None:
+        super().__init__(cat, message)
         self.cat = cat
         self.message = message
 

lambeq/text2diagram/ccgbank_parser.py

@@ -52,6 +52,7 @@ class CCGBankParseError(Exception):
     """Error raised if parsing fails in CCGBank."""
 
     def __init__(self, sentence: str = '', message: str = '') -> None:
+        super().__init__(sentence, message)
         if message:
             self.sentence = sentence
             self.message = message

lambeq/text2diagram/depccg_parser.py

@@ -66,6 +66,7 @@ def _import_depccg() -> None:
 
 class DepCCGParseError(Exception):
     def __init__(self, sentence: str) -> None:
+        super().__init__(sentence)
         self.sentence = sentence
 
     def __str__(self) -> str:  # pragma: no cover

lambeq/text2diagram/model_based_reader/bobcat_parser.py

@@ -48,6 +48,7 @@
 
 class BobcatParseError(Exception):
     def __init__(self, sentence: str) -> None:
+        super().__init__(sentence)
         self.sentence = sentence
 
     def __str__(self) -> str:

lambeq/text2diagram/model_based_reader/model_downloader.py

@@ -31,7 +31,7 @@
 from lambeq.core.globals import VerbosityLevel
 from lambeq.typing import StrPathT
 
-MODELS_URL = 'https://qnlp.cambridgequantum.com/models'
+MODELS_URL = 'https://qnlp.quantinuum.com/models'
 MODELS = {'bobcat', 'oncilla'}
 VERSION_FNAME = 'version.txt'
 CHECKSUM_FNAME = 'model_checksum.sha256'
@@ -42,6 +42,7 @@
 
 class ModelDownloaderError(Exception):
     def __init__(self, error_msg: str) -> None:
+        super().__init__(error_msg)
         self.error_msg = error_msg
 
     def __str__(self) -> str:

lambeq/text2diagram/model_based_reader/oncilla_parser.py

@@ -45,6 +45,7 @@
 
 class OncillaParseError(Exception):
     def __init__(self, sentence: str, reason: str = '') -> None:
+        super().__init__(sentence, reason)
         self.sentence = sentence
         self.reason = reason
 

lambeq/text2diagram/pregroup_tree.py

@@ -24,6 +24,7 @@
 
 class PregroupTreeNodeError(Exception):
     def __init__(self, sentence: str) -> None:
+        super().__init__(sentence)
         self.sentence = sentence
 
     def __str__(self) -> str:

lambeq/text2diagram/web_parser.py

@@ -40,6 +40,7 @@
 
 class WebParseError(OSError):
     def __init__(self, sentence: str) -> None:
+        super().__init__(sentence)
         self.sentence = sentence
 
     def __str__(self) -> str:

lambeq/training/nelder_mead_optimizer.py

@@ -259,7 +259,7 @@ def objective(self, x: Iterable[Any], y: ArrayLike, w: ArrayLike) -> float:
                 raise ValueError(
                     'Objective function must return a scalar'
                 ) from e
-        return result   # type: ignore[return-value]
+        return result
 
     def backward(self, batch: tuple[Iterable[Any], np.ndarray]) -> float:
         """Calculate the gradients of the loss function.

setup.cfg

@@ -73,8 +73,10 @@ python_requires = >=3.10
 [options.extras_require]
 extras =
     discopy >= 1.1.7
+    numpy >= 1.24.0, < 2.0
     jax < 0.6.0
     jaxlib < 0.6.0
+    autoray < 0.6.0
     pennylane >= 0.29.1, < 0.37.0
     pennylane-honeywell
     pennylane-qiskit >= 0.29.1, < 0.37.0